fix modin tests

pandera/engines/pandas_engine.py

@@ -444,7 +444,7 @@ def _check_decimal(
 
     is_decimal = pandas_obj.apply(
         lambda x: isinstance(x, decimal.Decimal)
-    ).astype("boolean") | pd.isnull(pandas_obj)
+    ).astype("bool") | pd.isnull(pandas_obj)
 
     decimals = pandas_obj[is_decimal]
     # fix for modin unamed series raises KeyError

pandera/typing/modin.py

@@ -2,17 +2,25 @@
 
 from typing import TYPE_CHECKING, Generic, TypeVar
 
+from packaging import version
+
 from .common import DataFrameBase, IndexBase, SeriesBase
 from .pandas import GenericDtype, Schema
 
 try:
+    import modin
     import modin.pandas as mpd
 
     MODIN_INSTALLED = True
 except ImportError:
     MODIN_INSTALLED = False
 
 
+def modin_version():
+    """Return the modin version."""
+    return version.parse(modin.__version__)
+
+
 # pylint:disable=invalid-name
 if TYPE_CHECKING:
     T = TypeVar("T")  # pragma: no cover

pyproject.toml

@@ -1,3 +1,7 @@
 [tool.pyright]
 include = [ "pandera", "tests" ]
 exclude = [".nox/**", ".nox-*/**"]
+
+[tool.pytest.ini_options]
+log_cli = true
+log_cli_level = 20

tests/core/test_logical_dtypes.py

@@ -99,7 +99,6 @@ def test_logical_datatype_check(
     assert not any(
         cast(Iterable[bool], expected_datatype.check(SimpleDtype(), data))
     )
-    print(expected_datatype.check(SimpleDtype(), None))
     assert expected_datatype.check(SimpleDtype(), None) is False
 
     # No data container

tests/modin/test_schemas_on_modin.py

@@ -10,7 +10,7 @@
 import pandera as pa
 from pandera import extensions
 from pandera.engines import numpy_engine, pandas_engine
-from pandera.typing.modin import DataFrame, Index, Series
+from pandera.typing.modin import DataFrame, Index, Series, modin_version
 from tests.strategies.test_strategies import NULLABLE_DTYPES
 from tests.strategies.test_strategies import (
     SUPPORTED_DTYPES as SUPPORTED_STRATEGY_DTYPES,
@@ -151,7 +151,7 @@ def test_index_dtypes(
         schema.coerce = coerce
     sample = data.draw(schema.strategy(size=3))
     # pandas (and modin) use object arrays to store boolean data
-    if dtype is bool:
+    if modin_version().release < (0, 16, 0) and dtype is bool:
         assert sample.dtype == "object"
         return
     assert isinstance(